Experienced AI​/ML Engineer at RBC

Shape the future of AI at RBC as a Staff AI/ML Engineer. Take charge of machine learning systems from design to production in a collaborative environment.

Join the RBC Borealis AI Platform team, where you'll lead the lifecycle of machine learning systems, ensuring reliability and performance. Your expertise in Python, CI/CD pipelines, and scalable ML infrastructure using platforms like Sage Maker will directly impact the treatment of AI workloads at Canada's largest financial institution.

Key Responsibilities:

• Design production-ready ML model-serving infrastructure using AWS tools

• Architect real-time data pipelines with Apache Kafka for ML workflows

• Develop and maintain backend services in Python and expose solid APIs

• Manage containerized deployments with Open Shift and Kubernetes

• Build CI/CD pipelines for efficient model validation and delivery

Requirements:

• Proven experience with Sage Maker and MLflow during operations

• Expert Python developer for backend service and ML engineering

• Hands-on knowledge of Apache Kafka for streaming architectures

• Familiarity with Open Shift/Kubernetes for deploying ML workloads

• Experience with Git Hub Actions for CI/CD in ML delivery

Elevate your career while working on critical AI projects at RBC.
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